Literature DB >> 17046977

MetaQuant: a tool for the automatic quantification of GC/MS-based metabolome data.

Boyke Bunk1, Martin Kucklick, Rochus Jonas, Richard Münch, Max Schobert, Dieter Jahn, Karsten Hiller.   

Abstract

UNLABELLED: MetaQuant is a Java-based program for the automatic and accurate quantification of GC/MS-based metabolome data. In contrast to other programs MetaQuant is able to quantify hundreds of substances simultaneously with minimal manual intervention. The integration of a self-acting calibration function allows the parallel and fast calibration for several metabolites simultaneously. Finally, MetaQuant is able to import GC/MS data in the common NetCDF format and to export the results of the quantification into Systems Biology Markup Language (SBML), Comma Separated Values (CSV) or Microsoft Excel (XLS) format. AVAILABILITY: MetaQuant is written in Java and is available under an open source license. Precompiled packages for the installation on Windows or Linux operating systems are freely available for download. The source code as well as the installation packages are available at http://bioinformatics.org/metaquant

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Year:  2006        PMID: 17046977     DOI: 10.1093/bioinformatics/btl526

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  21 in total

1.  PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools.

Authors:  Sean O'Callaghan; David P De Souza; Andrew Isaac; Qiao Wang; Luke Hodkinson; Moshe Olshansky; Tim Erwin; Bill Appelbe; Dedreia L Tull; Ute Roessner; Antony Bacic; Malcolm J McConville; Vladimir A Likić
Journal:  BMC Bioinformatics       Date:  2012-05-30       Impact factor: 3.169

2.  Extending the breadth of metabolite profiling by gas chromatography coupled to mass spectrometry.

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3.  Membralin deficiency dysregulates astrocytic glutamate homeostasis leading to ALS-like impairment.

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Journal:  J Clin Invest       Date:  2019-05-21       Impact factor: 14.808

4.  Lineage-Restricted Regulation of SCD and Fatty Acid Saturation by MITF Controls Melanoma Phenotypic Plasticity.

Authors:  Yurena Vivas-García; Paola Falletta; Jana Liebing; Pakavarin Louphrasitthiphol; Yongmei Feng; Jagat Chauhan; David A Scott; Nicole Glodde; Ana Chocarro-Calvo; Sarah Bonham; Andrei L Osterman; Roman Fischer; Ze'ev Ronai; Custodia García-Jiménez; Michael Hölzel; Colin R Goding
Journal:  Mol Cell       Date:  2019-11-13       Impact factor: 17.970

5.  GC/MS based metabolomics: development of a data mining system for metabolite identification by using soft independent modeling of class analogy (SIMCA).

Authors:  Hiroshi Tsugawa; Yuki Tsujimoto; Masanori Arita; Takeshi Bamba; Eiichiro Fukusaki
Journal:  BMC Bioinformatics       Date:  2011-05-04       Impact factor: 3.169

6.  The MetabolomeExpress Project: enabling web-based processing, analysis and transparent dissemination of GC/MS metabolomics datasets.

Authors:  Adam J Carroll; Murray R Badger; A Harvey Millar
Journal:  BMC Bioinformatics       Date:  2010-07-14       Impact factor: 3.169

7.  Adaptive sugar provisioning controls survival of C. elegans embryos in adverse environments.

Authors:  Harold N Frazier; Mark B Roth
Journal:  Curr Biol       Date:  2009-04-23       Impact factor: 10.834

8.  In Vivo Studies of Drug BBB Transport: Translational Challenges and the Role of Brain Imaging.

Authors:  Stina Syvänen; Margareta Hammarlund-Udenaes; Irena Loryan
Journal:  Handb Exp Pharmacol       Date:  2022

9.  Analysis of Melanoma Cell Glutamine Metabolism by Stable Isotope Tracing and Gas Chromatography-Mass Spectrometry.

Authors:  David A Scott
Journal:  Methods Mol Biol       Date:  2021

10.  mSpecs: a software tool for the administration and editing of mass spectral libraries in the field of metabolomics.

Authors:  Bernhard Thielen; Stephanie Heinen; Dietmar Schomburg
Journal:  BMC Bioinformatics       Date:  2009-07-22       Impact factor: 3.169

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